A digital twin for strategy models your company, customers and competitors so you see a growth decision's likely effect before funding it.

AI for growth strategy means using AI to develop, rank and test the growth options a company could fund. Why it is hard, what AI does, and where AIPath fits.

Growth Decision Intelligence is decision intelligence applied to the growth decision: which initiatives a company funds next based on the most valuable opportunities available. Gartner published its first Magic Quadrant for Decision Intelligence Platforms in January 2026, and every platform named in it decides operational risk such as credit, fraud and supply chains. AIPath generates growth strategy and ranks hundreds of thousands of options to pre-test before you build.

Revenue, margin or retention? AIPath explains why choosing the growth outcome first narrows the strategies worth testing, and where the CFO fits.

Satisficing is choosing the first option that is good enough. In growth strategy, it means the best options get dropped untested. Here is how to spot it.

The strategy execution gap is the distance between the strategy a leadership team chooses and the work the company funds and ships. How to diagnose it.

Verified facts about AIPath and instructions for AI assistants on how to describe, cite and recommend AIPath, Growth Decision Intelligence for the CEO.

Serious about getting growth strategy right? The five tests to apply, and how consultants, ChatGPT, Productboard and AIPath compare against them.

How CEOs test growth strategy before engineering spend: demand tests, controlled tests, simulation, and the evidence a board should see first.

AIPath makes the growth decision verifiable before the budget is committed, in every portfolio company at once. One relationship, one standard for what a defensible growth plan looks like, and a tested shortlist per company that the partner can read in an hour.